head to head · open source
Amphion vs tradememory-protocol
Amphion has 10,330 GitHub stars, 856 forks, 174 open issues and last shipped 8 months ago. tradememory-protocol has 1,438 stars, 170 forks, 1 open issues and last shipped 13 days ago. Amphion leads on adoption by 618% (10,330 vs 1,438 stars). Amphion is written in Python under MIT; tradememory-protocol is written in Python under MIT. Amphion has attracted 8% as many forks as stars, tradememory-protocol 12%. tradememory-protocol was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Amphion | tradememory-protocol | |
|---|---|---|
| GitHub stars | ★ 10K | ★ 1.4K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-03-25 | 2026-10-23 |
| Forks | ⑂ 856 | ⑂ 170 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Amphion if
- You weight community size — 10K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick tradememory-protocol if
- You want the tradememory-protocol feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and tradememory-protocol fits your workflow better
About Amphion
Amphion: An Open Source Audio, Music, and Speech Generation Toolkit .svg" Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development. Amphion offers a unique feature: visualizations of classic models or architectures. We believe that these visualizations are beneficial for junior researchers and engineers who wish to gain a better understanding of the model. The North Star objective of Amphion is to offer a platform for…
read the full Amphion overview →
About tradememory-protocol
Getting Started Use Cases API Reference OWM Framework Limitations 中文版 Project status (August 2026): Feature complete, in maintenance mode — bug and security reports are still reviewed; no new features or hosted service are planned. For paid work, see Trading Record Analysis. Your trading AI has amnesia. And regulators are starting to notice. It makes the same mistakes every session. It can't explain why it traded. It forgets everything when the context window ends. Meanwhile, MiFID II is raising the bar for algorithmic decision documentation (Article 17). The EU AI Act demands systematic logging of AI actions…
read the full tradememory-protocol overview →
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Frequently asked questions
Is Amphion or tradememory-protocol more popular?
Amphion has 10,330 GitHub stars and tradememory-protocol has 1,438. Amphion has the larger community by that measure.
Are Amphion and tradememory-protocol free?
Both are open source. Amphion is licensed under MIT and tradememory-protocol under MIT. Neither carries a licence fee.
What is the difference between Amphion and tradememory-protocol?
Amphion is written in Python and tradememory-protocol in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Amphion or tradememory-protocol?
Choose Amphion if you want the larger community (10,330 stars) or its MIT licence terms. Choose tradememory-protocol if its feature set, stack or MIT licence fits better. Both are self-hostable.